Location
Hladilnika, bul Cherni Vrah 51
1704 Sofia
1704 Sofia
ML ENGINEER AI PRICING (m/f/d)
Employment Area
IT - BI, AI & DataLevel
Experienced professionalsWorking Model
Full-timeReference ID
43121
Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof!
The impact You will create:
Develop complex data products that are integrated into our business processes and generate added business value
Assess and process relevant data sources. Evaluate, implement and optimize suitable algorithms
Utilize and build on of state-of-the-art data science techniques, e.g., classic machine learning or deep neural networks
Integrate models into productive software and industrialize them (MLOps, DevOps)
Work in interdisciplinary, agile project teams
Present results to stakeholders
Experience and skills You will need:
Completed university degree in data science, mathematics, statistics, computer science, physics, or a related field
Ideally several years of professional experience as a machine learning engineer or data scientist
Practical experience with forecasting and pricing use cases and common models (gradient boosting machine, neural networks, (S)ARIMA, Prophet)
Very good knowledge in the application of machine learning, optimization and data mining methods (e.g., with Python, Spark)
Ideally experience with distributed machine learning frameworks and model lifecycle management (e.g., MLFlow)
Practical knowledge of development with Python and knowledge of the software development cycle (e.g., CI/CD, DevOps, testing)
Knowledge of big data (SQL, Spark/Databricks) and cloud technologies (Azure, GCP)
Experience with agile software development methods
Ability to understand complex issues and scenarios, analyze them in detail and present the findings to a non-technical audience in an understandable way
Very good knowledge of English (at least C1 level)